Spiders produce nature's toughest fiber using renewable components at ambient
temperatures and with water as solvent, making it highly interesting to replicate for the …

The remarkable material properties of spider silk, such as its high toughness and tensile
strength combined with its low density, make it a highly sought-after material with myriad …

The biochemical and biophysical properties of the extracellular matrix (ECM) play a pivotal
role in regulating cellular behaviors such as proliferation, migration, and differentiation …

Transformer neural networks show promising capabilities, in particular for uses in materials
analysis, design, and manufacturing, including their capacity to work effectively with human …

The design of alloys is a multi-scale problem that requires a holistic approach that involves
retrieving relevant knowledge, applying advanced computational methods, conducting …

Cephalo is presented as a series of multimodal vision large language models (V‐LLMs)
designed for materials science applications, integrating visual and linguistic data for …

Enhanced sampling techniques have traditionally encountered two significant challenges:
identifying suitable reaction coordinates and addressing the exploration–exploitation …

We report a mixture of expert strategy to create fine-tuned large language models using a
deep layer-wise token-level approach based on low-rank adaptation (LoRA). Starting with a …

Designing de novo proteins beyond those found in nature holds significant promise for
advancements in both scientific and engineering applications. Current methodologies for …

Spider silk is one of the strongest and toughest fibrous materials available in nature. Its
superior properties make it a good candidate for applications in various fields ranging from …